Evidence map›Paper›PMID 40811351›Full record

ArticlePloS one2025

Exploring the interplay between BMI, subjective body image perception, and health behaviors: A cross-sectional study.

Ho-Jun Kim, In-Whi Hwang, Kyu-Ri Hong, Hae-Young Chung, Jung-Min Lee

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ho-Jun KimDepartment of Physical Education, Graduate School of Physical Education, Kyung Hee University, Yongin-si, Republic of Korea.ORCID https://orcid.org/0009-0008-5978-9014
In-Whi HwangDepartment of Sports Medicine and Science, Graduate School of Physical Education, Kyung Hee University, Yongin-si, Republic of Korea.
Kyu-Ri HongDepartment of Physical Education, Graduate School of Education, Kyung Hee University, Yongin-si, Republic of Korea.
Hae-Young ChungDepartment of Sports Medicine and Science, Graduate School of Physical Education, Kyung Hee University, Yongin-si, Republic of Korea.ORCID https://orcid.org/0009-0009-5362-075X
Jung-Min LeeSports Science Research Center, Global Campus, Kyung Hee University, Yongin-si, Republic of Korea.ORCID https://orcid.org/0000-0002-8033-0725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored the impact of discrepancies between Body Mass Index (BMI) and Subjective Body Image Perception (SBIP) on metabolic health indicators, physical activity (PA), sedentary behavior (SB), sleep time (ST), and stress levels in Korean adults.

methodsData from 8,634 participants in the 8th Korea National Health and Nutrition Examination Survey (KNHANES, 2019-2021) were analyzed. Participants were categorized into three groups: Group A (SBIP = BMI), Group B (SBIP < BMI), and Group C (SBIP > BMI). Chi-square tests, ANOVA, and multinomial logistic regression were used to evaluate associations among discrepancies in SBIP and BMI and health behaviors.

resultsGroup B exhibited higher BMI levels (26.04 kg/m2) and adverse metabolic indicators, including elevated fasting glucose (102.11 mg/dL) and triglycerides (161.74 mg/dL), compared to the other groups (p < 0.05). Group C had better High-Density Lipoprotein (HDL) cholesterol (59 mg/dL) and lower prevalence rates of hyperlipidemia (9.7%) and hypertension (5.5%) than Group B (hyperlipidemia: 11.6%; hypertension: 5.1%) and Group A (hyperlipidemia: 13.2%; hypertension: 7.6%). Moderate-to-Vigorous PA (MVPA) was significantly lower in Group C (97.88 min/week) than Group A (133.18 min/week; p < 0.05) and Group B (169.64 min/week; p < 0.05). SBIP discrepancies had a stronger effect on PA and SB than BMI alone, with Group C being 1.30 times more likely not to meet PA guidelines. Stress levels were significantly higher in those with lower BMI or higher SBIP (Odds Ratio [OR] = 1.93, p < 0.01).

conclusionsSBIP has a stronger influence on health behaviors, particularly PA patterns, than BMI alone. Including SBIP in health promotion strategies may improve interventions for improving PA and addressing metabolic health disparities.

Indexed as

Body ImageBody Mass IndexHealth BehaviorAdultAgedCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedNutrition SurveysRepublic of KoreaSedentary BehaviorSleep

Identifiers

PMID40811351
PMCPMC12352643

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.